Previously worked with startups in AI/ML, robotics, and digital biology as a VC at O'Reilly AlphaTech Ventures (OATV). Tinkered with photons as a nanoscale and quantum optics PhD researcher at UC Berkeley. Engineered and broke stuff at Oracle, EMC, and Vicor. Roger also serves as Program Chair for the O'Reilly Artificial Intelligence Conference.
Bharath Ramsundar, Co-Founder & CTO
Bharath received a BA and BS from UC Berkeley in EECS and Mathematics and was valedictorian of his graduating class in mathematics. He did his PhD in computer science at Stanford University where he studied the application of deep-learning to problems in drug-discovery. At Stanford, Bharath created the DeepChem open-source project to grow the deep drug discovery open source community, co-created the MoleculeNet benchmark suite to facilitate development of molecular algorithms, and more. Bharath's graduate education was supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences. Bharath is the lead author of "TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning", a developer's introduction to modern machine learning, with O'Reilly Media. Today, Bharath is focused on designing the decentralized protocols that will unlock data and AI to create the next stage of the internet.
Alok Vasudev, Co-Founder & Director
Alok’s worked with startups in crypto, genomics, and AI. He’s been a VC at Spectrum 28 and Benchmark. Before that he was an engineer and scientist in semiconductors and nanophotonics.
Rob Robbins, Senior Engineer
Previously a Senior Software Engineer at PlanGrid, TaskRabbit, Apple and Skype. Also got a rock band signed to a major label producing an album you can still buy today.
Paco Nathan, Evangelist
Previously: Director, Learning Group at O'Reilly Media; Community Evangelist for Apache Spark. Known as a "player/coach", with 35+ years tech industry experience, ranging from Bell Labs to early-stage start-ups, and core expertise in ML, NLP, cloud. Cited in 2015 as one of the Top 30 People in Big Data and Analytics by Innovation Enterprise. Also an advisor for Amplify Partners, co-chair of JupyterCon, and host for Exec Briefings at The AI Conf and Strata Data.
Caroline Sofiatti, Data & Machine Learning
Caroline was head of ML/AI at smart home startup NoonHome before joining Computable. She has a Masters in Astrophysics from UC Berkeley, working with a Nobel-prize winning lab.
Artur Gorokh, Research Fellow
Currently conducting cryptoeconomics research at Computable. Fourth year Ph.D. student at Cornell working with advisors Sid Banerjee and Krishnamurthy Iyer. His research lies in the areas of mechanism design and algorithmic game theory. He is particularly interested in how artificial currencies can be used to improve efficiency when allocating resources without money.